Absolute balanced kdtree for fast kNN search.

An easy to follow library to make Fortran easier in general with wrapped interfaces, sorting routines, kD-Trees, and other algorithms to handle scientific data and concepts. The library contains core fortran routines and object-oriented classes.

Simple kdtree library in erlang

Object Detection pipeline implemented using the Voxel Grid and ROI based filtering, 3D RANSAC segmentation, Euclidean clustering based on KD-Tree, and bounding boxes, by processing Point Cloud data from LiDAR sensor.

Build KD-Trees and perform Nearest Neighbor searches

A simple and fast KD-tree for points in Python for kNN or nearest points. (damm short at just ~60 lines) No libraries needed.

Project related to the course "Foundations of High Performance Computing" of the Master's Degree in Computational Science and Engineering @ UniTS. The purpose of this assignment is to develop both OpenMP and MPI versions of a program that builds a kdtree.

An optimized, single-header kD-Tree library for points written in C++11.

GeoNames REST API

use OpenCL implement the KDTree

Ruby implementation of space partitioning tree

A 2D k-dimensional tree implementation with Java

Java code to visualize trees (e.g., BST, BTree, QuadTree)

Algorithms implemented by me for the course "Advanced Algorithms" (J. Cnops) at the Ghent University (Master of Science in Industrial Engineering: Information Science)

KD-tree with RGB colors

A) Convex Hull 2D-3D Algorithms B) KD-Trees, Orthogonal Search, Voronoi Diagrams, Delaunay Triangulation

Finding nearest city to a position in android using k-d trees

Implementation of KD Trees using scikit learn library for information retrieval.

A Package for extrapolating Pincode from Lat Longs